Guide every shopper with personalized product recommendations

Crobox’s product recommendation tool delivers personalized product suggestions using business rules, similar visitor behavior, and real-time shopper input - helping you increase basket size and boost AOV.

The smartest way to recommend products that actually convert

The Crobox Product Recommendation Engine delivers personalized product suggestions - whether it’s a complementary item in a “shop the look” experience or an alternative that better fits the shopper’s preferences. It combines business logic (like most popular or new arrivals), visitor-specific context (such as Product Finder answers), and product-to-product relationships (such as “others also liked”) to ensure every recommendation feels relevant, timely, and conversion-driven.

Why leading brands rely on smarter recommendations

How the product recommendation engine works

Starts recommending from the first interaction

The Product Recommendation Engine is active from the start - using enriched product attributes and shopper behavior to suggest relevant items.
Starts recommending from the first interaction
The Product Recommendation Engine is active from the start - using enriched product attributes and shopper behavior to suggest relevant items.
Gets smarter with every signal
As shoppers interact - through the Product Finder or on-site behavior - recommendations become increasingly personalized.
Extends the guided journey after the Product Finder
Once a shopper completes a Product Finder experience, the Product Recommendation Engine seamlessly picks up where the conversation left off.

Keep the guidance going - from Product Finder to Recommender

The Product Recommendation Engine integrates with Crobox tools to create a seamless, intent-based shopping journey. It uses zero-party data to personalize suggestions and recommend relevant cross-sells, while Product Comparison turns options into confident decisions.
One recommender. A whole ecosystem of guidance.

Book a demo and personalize your shopper journeys with intent-aware suggestions.

Book a Demo